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Wrapper feature selection for small sample size data driven by complete error estimates

  • Published:2012-10 Issue:1 Volume:108 Page:138-150
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Macaš Martin,Lhotská Lenka,Bakstein Eduard,Novák Daniel,Wild Jiří,Sieger Tomáš,Vostatek Pavel,Jech Robert

Funder

Ministry of Education, Youth and Sports of the Czech Republic

Czech Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference38 articles.

1. Wrappers for feature subset selection;Kohavi;Artif. Intell.,1997

2. Bolstered error estimation;Braga-Neto;Pattern Recognit.,2004

3. Cross-validation and bootstrapping are unreliable in small sample classification;Isaksson;Pattern Recogn. Lett.,2008

4. Many are called, but few are chosen. Feature selection and error estimation in high dimensional spaces;Schulerud;Comput. Methods Prog. Biomed.,2004

5. Bootstrap techniques for error estimation;Jain;IEEE Trans. Pattern Anal. Mach. Intell.,1987

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